Microsoft Corporation Surface Pro 10 for Business
Geekbench AI Score
2119
Single Precision Score
7525
Half Precision Score
11111
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dynamiteCobra88 |
| Upload Date | November 28 2024 11:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Microsoft Corporation Surface Pro 10 for Business |
| Motherboard | Microsoft Corporation Surface Pro 10 for Business |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 135U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
851
158.3 IPS |
|
|
Image Classification (HP)
|
100% |
5596
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
6912
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3025
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3395
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
29298
34.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62629
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
4528
359.1 IPS |
|
|
Object Detection (Q)
|
87% |
6673
535.5 IPS |
|
|
Face Detection (SP)
|
100% |
3848
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
10872
129.2 IPS |
|
|
Face Detection (Q)
|
100% |
16843
200.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3764
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16684
128.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
30107
234.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9624
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
45241
58.2 IPS |
|
|
Style Transfer (Q)
|
98% |
82305
106.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1730
63.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11771
434.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20137
745.8 IPS |
|
|
Text Classification (SP)
|
100% |
660
881.3 IPS |
|
|
Text Classification (HP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1742
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1857
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2242
38.6 IPS |
